{
 "id": "mteb/emotion",
 "owner": "mteb",
 "name": "emotion",
 "downloads": 3762,
 "likes": 18,
 "last_modified": "2025-07-06T13:59:11.000Z",
 "stated_licence": "unknown",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
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 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@inproceedings{saravia-etal-2018-carer,\n  abstract = {Emotions are expressed in nuanced ways, which varies by collective or individual experiences, knowledge, and beliefs. Therefore, to understand emotion, as conveyed through text, a robust mechanism capable of capturing and modeling different linguistic nuances and phenomena is needed. We propose a semi-supervised, graph-based algorithm to produce rich structural descriptors which serve as the building blocks for constructing contextualized affect representations from text. The pattern-based representations are further enriched with word embeddings and evaluated through several emotion recognition tasks. Our experimental results demonstrate that the proposed method outperforms state-of-the-art techniques on emotion recognition tasks.},\n  address = {Brussels, Belgium},\n  author = {Saravia, Elvis  and\nLiu, Hsien-Chi Toby  and\nHuang, Yen-Hao  and\nWu, Junlin  and\nChen, Yi-Shin},\n  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},\n  doi = {10.18653/v1/D18-1404},\n  editor = {Riloff, Ellen  and\nChiang, David  and\nHockenmaier, Julia  and\nTsujii, Jun{'}ichi},\n  month = oct # {-} # nov,\n  pages = {3687--3697},\n  publisher = {Association for Computational Linguistics},\n  title = {{CARER}: Contextualized Affect Representations for Emotion Recognition},\n  url = {https://aclanthology.org/D18-1404},\n  year = {2018},\n}\n\n\n@article{enevoldsen2025mmtebmassivemultilingualtext,\n  title={MMTEB: ",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "13535ec7ed83ac3920c40db3c3fd4133af55cc06",
 "stated_evidence": "https://huggingface.co/datasets/mteb/emotion/blob/13535ec7ed83ac3920c40db3c3fd4133af55cc06/README.md",
 "file_evidence": "https://huggingface.co/datasets/mteb/emotion/tree/13535ec7ed83ac3920c40db3c3fd4133af55cc06",
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}